Text Cleanup Workflow
A step-by-step workflow for cleaning pasted text, removing duplicates, normalizing case, checking length, and preparing copy for publishing.
Start with the source problem
Most messy text comes from copy-paste: email threads, PDFs, spreadsheets, CMS exports, AI drafts, or notes apps. Before changing anything, paste the raw text into a temporary draft and keep a copy. That gives you a safe fallback if formatting changes remove something important.
Normalize spacing and repeated lines
If the text came from a spreadsheet, mailing list, or exported report, duplicate lines are usually the first thing to fix. Use the remove duplicates tool when you need one clean line per item. Keep sorting off when order matters, such as quotes or bullet points from a meeting.
Fix case after structure
Do not convert case before you know the final structure. Headings, filenames, hashtags, and code identifiers each need different casing rules. Once the paragraphs or line list is stable, use the case converter to change headings to Title Case, variables to camelCase, or labels to sentence case.
Check length last
Word count and character count are final checks. Use them after cleanup so you are measuring the version that will actually ship. For blog posts, count words and reading time. For meta descriptions and social posts, count characters with spaces because platforms enforce total typed length.
Protect private content
Client drafts, student essays, legal notes, and medical text should not be uploaded to random websites. WordBit tools run in your browser, so the cleanup workflow stays on your device. That privacy-first design is why the tools are intentionally simple and client-side.